◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

E. Aramaki

13 papers hereh-index 263.1k citations204 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author10

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL7
  • cs.CY2
  • cs.SI2
  • cs.HC1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedNAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset

24 citations · 28 across the 9 of their papers we have counts for

collaborators
Showing cs.SIShow all

2 papers · 1 filter

cs.SI2020

Fake News Detection using Temporal Features Extracted via Point Process

Taichi Murayama, Shoko Wakamiya, Eiji Aramaki

Many people use social networking services (SNSs) to easily access various news. There are numerous ways to obtain and share ``fake news,'' which are news carrying false informatio…

cs.SI2020★ 24 cited

NAIST COVID: Multilingual COVID-19 Twitter and Weibo Dataset

Zhiwei Gao, Shuntaro Yada, Shoko Wakamiya +1

Since the outbreak of coronavirus disease 2019 (COVID-19) in the late 2019, it has affected over 200 countries and billions of people worldwide. This has affected the social life o…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.